MobileNetV2-D and multiple cameras for swiftlet nest classification based on feather intensity
Denny Indrajaya,
Hanna Arini Parhusip,
Suryasatriya Trihandaru
et al.
Abstract:MobileNetV2-D is a modified version of MobileNetV2, which is the novelty of this article. The algorithm is used to classify swiftlet nests into seven classes. In 2023, PT Waleta Asia Jaya is required to achieve a 7-fold increase in the export quota of swiftlet nests. To meet the quota, the company made a machine that can recognize swiftlet nest objects, which are classified into seven classes based on feather intensity, namely BRS, BR, BST, BS, BBT, BB, and BB2 for the light feathers to the heavy feathers, res… Show more
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